Articles
Dec 15, 2025
Performance Exaggeration: When Neural Networks “Lie”
Neural networks do not intentionally exaggerate their performance, but our training and reporting practices can unintentionally make them look like skilled performers when we are really showcasing the luckiest network after the lottery has already been run...

Dec 15, 2025
P-Hacking in AI: How Researchers Misrepresent Their Results
Dr. Juyang Weng, a researcher at Michigan State University, has made a startling claim: many of the world's most celebrated AI breakthroughs are based on what he calls "p-hacking" or "post-selection misconduct" — essentially a form of misconduct that is widespread in the field...

Apr 15, 2026
Consciousness Rules: The Science about Donald Trump's Brain
According to reports, on January 3, 2026, President Donald Trump announced that the U.S. military had launched strikes across Venezuela that culminated in the capture and arrest of President Nicolás Maduro (2013–2026) and his wife, Cilia Flores...

Apr 15, 2026
Brain's Hidden Abstraction inside a Closed Skull
To understand the motivation of hidden abstraction, you need to first read my paper in the previous issue of the PopAI Magazine, titled "Open Skull Invites a Human Homunculus Who Does Post-Selection". In that article, I argued that an open skull not only attracts Post-Selection misconduct but also forces a human to hardcraft internal representations...

Apr 15, 2026
Chasing the "Luckiest" Model: False Hope and Wasted Effort
Modern artificial intelligence is often framed as a story of clean, linear progress: better architectures, larger datasets, and higher benchmark scores. Yet behind many celebrated results lies a quieter and more troubling habit — chasing the luckiest network...

Apr 15, 2026
AI Surveillance in Exams Crossing the Privacy Line
Artificial Intelligence (AI) is increasingly being used to monitor students during exams, promising fairness and prevention of cheating. However, the growing reliance on AI proctoring systems raises serious concerns about privacy and ethical boundaries...

Apr 15, 2026
Beyond Bias: How Maximum Likelihood Corrects AI Behavior
In modern AI, many models look extremely accurate on paper. Researchers claim that a certain neural network achieves "state-of-the-art" results with very low test error. But Dr. Juyang Weng argues that many of these results hide a serious problem: a technique called Post-Selection, which gives a dangerously false sense of good performance...

Apr 15, 2026
AI Hallucinations and False Positives: Real-World Harm
When ChatGPT confidently asserts a historical event that never occurred, or a Vision Transformer detects cancer in pure noise, the reaction is often amusement — until the consequences become real. AI hallucinations (fabricated outputs) and false positives (incorrect affirmative predictions) are not harmless anomalies; they pose serious risks across critical domains...

Dec 15, 2025
About PopAI
PopAI Issue 2 investigates a major "cheat code" hiding in the world of Artificial Intelligence. Imagine a gamer who claims they beat a super hard level on their first try, but in reality, they secretly played it 500 times, lost 499 times, and only showed you the one winning video. Is that skill, or just luck? This is exactly what is happening in AI research today...














